AI Agents 101 Tools For Marketing Business Course Syllabus

Overview: This course provides a beginner-friendly introduction to AI agents and their practical applications in marketing and business. Designed for non-technical learners, it spans approximately 15-20 hours of content across six modules. You'll explore real-world tools and techniques to automate marketing tasks, generate content, and analyze customer data—all without coding. Each module combines conceptual learning with hands-on labs and real-world case studies to build practical skills quickly.

Module 1: Foundations of Computing & Algorithms

Estimated time: 3 hours

• Review of tools and frameworks commonly used in practice
• Introduction to algorithmic thinking for business automation
• Interactive lab: Building practical solutions
• Assessment: Quiz and peer-reviewed assignment

Module 2: Neural Networks & Deep Learning

Estimated time: 2 hours

• Understanding core AI concepts including neural networks
• Overview of deep learning in business contexts
• Discussion of best practices and industry standards
• Guided project work with instructor feedback

Module 3: AI System Design & Architecture

Estimated time: 3 hours

• Introduction to key concepts in AI system design & architecture
• Hands-on exercises applying AI system design techniques
• Review of tools and frameworks for scalable AI solutions
• Guided project work with instructor feedback

Module 4: Natural Language Processing

Estimated time: 2 hours

• Explore transformer architectures and attention mechanisms
• Implement prompt engineering techniques for large language models
• Interactive lab: Building practical solutions
• Case study analysis with real-world examples

Module 5: Computer Vision & Pattern Recognition

Estimated time: 4 hours

• Introduction to key concepts in computer vision & pattern recognition
• Applications in marketing and customer experience
• Case study analysis with real-world examples
• Discussion of best practices and industry standards

Module 6: Deployment & Production Systems

Estimated time: 4 hours

• Introduction to key concepts in deployment & production systems
• Interactive lab: Building practical solutions
• Case study analysis with real-world examples
• Final project: Build and deploy an AI-powered marketing application

Prerequisites

• Basic familiarity with digital marketing concepts
• No prior coding or technical AI experience required
• Access to a web browser and common SaaS platforms

What You'll Be Able to Do After

• Use AI agents to automate marketing campaigns and workflows
• Create compelling content using prompt engineering and generative AI
• Analyze customer data and behavior using AI-driven analytics
• Design and deploy simple AI-powered business applications
• Evaluate AI tools for scalability and business impact